most citedNetwork Environment Design for Autonomous Cyberdefense

24 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

math.AT20221 cited

Proceedings of TDA: Applications of Topological Data Analysis to Data Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022

R. W. R. Darling, John A. Emanuello, Emilie Purvine +1

Topological Data Analysis (TDA) is a rigorous framework that borrows techniques from geometric and algebraic topology, category theory, and combinatorics in order to study the "sha…

cs.CR2022

Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022

James Holt, Edward Raff, Ahmad Ridley +7

The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilitie…

cs.CR20214 cited

Incorporating Deception into CyberBattleSim for Autonomous Defense

Erich Walter, Kimberly Ferguson-Walter, Ahmad Ridley

Deceptive elements, including honeypots and decoys, were incorporated into the Microsoft CyberBattleSim experimentation and research platform. The defensive capabilities of the dec…

cs.CR2021

Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021

John Emanuello, Kimberly Ferguson-Walter, Erik Hemberg +5

Malicious cyber activity is ubiquitous and its harmful effects have dramatic and often irreversible impacts on society. Given the shortage of cybersecurity professionals, the ever-…

cs.CR20215 cited

Network Defense is Not a Game

Andres Molina-Markham, Ransom K. Winder, Ahmad Ridley

Research seeks to apply Artificial Intelligence (AI) to scale and extend the capabilities of human operators to defend networks. A fundamental problem that hinders the generalizati…

cs.CR202124 cited

Network Environment Design for Autonomous Cyberdefense

Andres Molina-Markham, Cory Miniter, Becky Powell +1

Reinforcement learning (RL) has been demonstrated suitable to develop agents that play complex games with human-level performance. However, it is not understood how to effectively…